Results 131 to 140 of about 57,524 (174)

Forest volume estimation using nonlinear multiregression based on Choquet integrals

2009 International Conference on Machine Learning and Cybernetics, 2009
Nonlinear multiregression based on choquet integrals has been widely researched. In this paper, a new estimation model of the forest volume using nonlinear multiregression based on Choquet integrals was established.
null Dong-Mei Huang, null Jian-Cai Gu, null Tao Xiao, null Ning Zhang, null Xin-Wu Zhen   +4 more
openaire   +1 more source

Data-Driven Compression and Efficient Learning of the Choquet Integral

IEEE transactions on fuzzy systems, 2018
The Choquet integral (ChI) is a parametric nonlinear aggregation function defined with respect to the fuzzy measure (FM). To date, application of the ChI has sadly been restricted to problems with relatively few numbers of inputs; primarily as the FM has
Muhammad Aminul Islam, Derek T. Anderson, Anthony J. Pinar, T. Havens   +3 more
semanticscholar   +1 more source

Evaluating the Marine Environmental Concealment Risk Levels Using a Fuzzy Choquet Integral Model

International Journal of Fuzzy System Applications
The evaluation of marine environmental concealment is crucial for underwater activities. Traditional assessment methods do not fully leverage risk indicators and expert experience.
Haixia Ji, Zaiwu Gong, Qiong Wu, Zhecheng Wang   +3 more
semanticscholar   +1 more source

A new nonlinear classification model based on cross-oriented Choquet integrals

International Conference on Information Science and Technology, 2011
The nonadditive set function defined on the power set of all considered feature attributes can describe the interaction among the contributions from various feature attributes towards classification. The Choquet integral with respect to nonadditive set functions then is a proper aggregation tool in classifications with a nonlinear classifying boundary.
Zhenyuan Wang, Rong Yang, null Yong Shi
openaire   +1 more source

Explainable AI for Understanding Decisions and Data-Driven Optimization of the Choquet Integral

IEEE International Conference on Fuzzy Systems, 2018
To date, numerous ways have been created to learn a fusion solution from data. However, a gap exists in terms of understanding the quality of what was learned and how trustworthy the fusion is for future—i.e., new—data.
Bryce J. Murray, Muhammad Aminul Islam, Anthony J. Pinar, T. Havens, Derek T. Anderson, G. Scott   +5 more
semanticscholar   +1 more source

Convergence theorems for sequences of Choquet integrals and the stability of nonlinear integral systems

Proceedings of North American Fuzzy Information Processing, 2002
In the last 20 years, the theoretical as well as practical significance of nonadditive set functions and nonlinear integrals has increasingly been recognized. The Choquet integral with respect to nonadditive monotone set functions is one kind of nonlinear functionals defined on a subspace of all real-valued measurable functions.
G.J. Klir, Z. Wang
openaire   +1 more source

Bi-Capacity Choquet Integral for Sensor Fusion with Label Uncertainty

IEEE International Conference on Fuzzy Systems
Sensor fusion combines data from multiple sensor sources to improve reliability, robustness, and accuracy of data interpretation. The Fuzzy Integral (FI), in particular, the Choquet integral (ChI), is often used as a powerful nonlinear aggregator for ...
Hersh Vakharia, Xiaoxiao Du
semanticscholar   +1 more source

An Intelligent Choquet Fuzzy Integral-Based Framework for Risk Assessment in Seismic Acquisition Processes

Processes
An intelligent safety risk assessment model is proposed by integrating the λ-fuzzy measure, Choquet integral, and triangular fuzzy numbers. It addresses the limitations of conventional methods like AHP that neglect nonlinear interactions among risk ...
Chuan He, Ningbo Mao, Leli Cheng, Guangbin Du   +3 more
semanticscholar   +1 more source

Decomposition Ensemble Forecasting with Choquet Fuzzy Integral and its Application to Forecast International Tourist Arrivals

Int. J. Uncertain. Fuzziness Knowl. Based Syst.
Decomposition ensemble forecasting with nonlinear artificial intelligence methods has been widely used in tourism demand forecasting. Because of the high practicality of the Choquet fuzzy integral for performance evaluation in the field of multiple ...
Yi-Chung Hu, Geng Wu
semanticscholar   +1 more source

Visualization and learning of the Choquet integral with limited training data

IEEE International Conference on Fuzzy Systems, 2017
The fuzzy integral (FI) is a nonlinear aggregation operator whose behavior is defined by the fuzzy measure (FM). As an aggregation operator, the FI is commonly used for evidence fusion where it combines sources of information based on the worth of each ...
Anthony J. Pinar, T. Havens, Muhammad Aminul Islam, Derek T. Anderson   +3 more
semanticscholar   +1 more source